This paper addresses the steep learning curve in Machine Learning faced by noncomputer scientists, particularly social scientists, stemming from the absence of a primer on its fundamental principles. I adopt a pedagogical strategy inspired by the adage "once you understand OLS, you can work your...

Lenders condition future loans on some index of past performance. Typically, banks condition future loans on repayments of earlier obligations whilst international organizations (official lenders) condition future loans on the implementation of some policy action (‘investment’). We build an...

We examine the impact of Articial Intelligence (AI) on productivity in the context of taxi drivers. The AI we study assists drivers with finding customers by suggesting routes along which the demand is predicted to be high. We find that AI improves drivers' productivity by shortening the...

College students now use various forms of unsecured credit such as private student loans and credit cards to finance college. Access to these credit lines and the interest rates charged on these loans can vary significantly across credit scores. In this paper, we analyze if credit status, as...

This survey is devoted to the statistical analysis of duration models and point processes. The first section introduces specific concepts and definitions for single-spell duration models. Section two is devoted to the presentation of conditional duration models which incorporate the effects of...

The Peter Principle captures two stylized facts about hierarchies: first, promotions often place employees into jobs for which they are less well suited than for that previously held. Second, demotions are extremely rare. Why do organizations not correct 'wrong' promotion decision? This paper...

This paper examines the effects of the Working Families' Tax Credit (WFTC) on couples in Britain. We develop a simple model of household decisions which explicitly accounts for the role played by the tax and benefit system. Its main implications are then tested using panel data from the British...

Traditional instrumental variable estimators do not generally estimate effects for the treated population but for the unobserved population of compliers. They do identify effects for the treated when there is one-sided perfect non-compliance. However, this property is lost when covariates are...